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Diffstat (limited to '.github/next_release.md')
| -rw-r--r-- | .github/next_release.md | 48 |
1 files changed, 4 insertions, 44 deletions
diff --git a/.github/next_release.md b/.github/next_release.md index d3c9ce68..54115196 100644 --- a/.github/next_release.md +++ b/.github/next_release.md @@ -1,50 +1,10 @@ -We are pleased to announce the release 3.2.0 of the GUDHI library. +We are pleased to announce the release 3.7.1 of the GUDHI library. -As a major new feature, the GUDHI library now offers a Python interface to [Hera](https://bitbucket.org/grey_narn/hera/src/master/) to compute the Wasserstein distance. -[PyBind11](https://github.com/pybind/pybind11) is now required to build the Python module. +This minor post-release is a bug fix version for [python representation module](https://gudhi.inria.fr/python/latest/representations.html). -We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.2.0.tar.gz). +We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz). -Below is a list of changes made since GUDHI 3.1.1: - -- Point cloud utilities - - A new module [Time Delay Embedding](https://gudhi.inria.fr/python/latest/point_cloud.html#time-delay-embedding) - to embed time-series data in the R^d according to [Takens' Embedding Theorem](https://en.wikipedia.org/wiki/Takens%27s_theorem) - and obtain the coordinates of each point. - - A new module [K Nearest Neighbors](https://gudhi.inria.fr/python/latest/point_cloud.html#k-nearest-neighbors) - that wraps several implementations for computing the k nearest neighbors in a point set. - - A new module [Distance To Measure](https://gudhi.inria.fr/python/latest/point_cloud.html#distance-to-measure) - to compute the distance to the empirical measure defined by a point set - -- [Persistence representations](https://gudhi.inria.fr/python/latest/representations.html) - - Interface to Wasserstein distances. - -- Rips complex - - A new module [Weighted Rips Complex](https://gudhi.inria.fr/python/latest/rips_complex_user.html#weighted-rips-complex) - to construct a simplicial complex from a distance matrix and weights on vertices. - -- [Wassertein distance](https://gudhi.inria.fr/python/latest/wasserstein_distance_user.html) - - An [another implementation](https://gudhi.inria.fr/python/latest/wasserstein_distance_user.html#hera) - comes from Hera (BSD-3-Clause) which is based on [Geometry Helps to Compare Persistence Diagrams](http://doi.acm.org/10.1145/3064175) - by Michael Kerber, Dmitriy Morozov, and Arnur Nigmetov. - - `gudhi.wasserstein.wasserstein_distance` has now an option to return the optimal matching that achieves the distance between the two diagrams. - - A new module [Barycenters](https://gudhi.inria.fr/python/latest/wasserstein_distance_user.html#barycenters) - to estimate the Frechet mean (aka Wasserstein barycenter) between persistence diagrams. - -- [Simplex tree](https://gudhi.inria.fr/python/latest/simplex_tree_ref.html) - - Extend filtration method to compute extended persistence - - Flag and lower star persistence pairs generators - - A new interface to filtration, simplices and skeleton getters to return an iterator - -- [Alpha complex](https://gudhi.inria.fr/doc/latest/group__alpha__complex.html) - - Improve computations (cache circumcenters computation and point comparison improvement) - -- [Persistence graphical tools](https://gudhi.inria.fr/python/latest/persistence_graphical_tools_user.html) - - New rendering option proposed (use LaTeX style, add grey block, improved positioning of labels, etc.). - - Can now handle (N x 2) numpy arrays as input - -- Miscellaneous - - The [list of bugs that were solved since GUDHI-3.2.0](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.2.0+is%3Aclosed) is available on GitHub. +The [list of bugs that were solved since GUDHI-3.7.0](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.7.1+is%3Aclosed) is available on GitHub. All modules are distributed under the terms of the MIT license. However, there are still GPL dependencies for many modules. We invite you to check our [license dedicated web page](https://gudhi.inria.fr/licensing/) for further details. |